“Do animals have accents?”: talking with agents in multi-party conversation

Porcheron, Martin, Fischer, Joel E. and Sharples, Sarah (2016) “Do animals have accents?”: talking with agents in multi-party conversation. In: 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017), 25 Feb-01 Mar 2017, Portland, Oregon, USA. (In Press)

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Abstract

In this paper we unpack the use of conversational agents, or so-called intelligent personal assistants (IPAs), in multi- party conversation amongst a group of friends while they are socialising in a café. IPAs such as Siri or Google Now can be found on a large proportion of personal smartphones and tablets, and are promoted as ‘natural language’ interfaces. The question we pursue here is how they are actually drawn upon in conversational practice? In our work we examine the use of these IPAs in a mundane and common-place setting and employ an ethnomethodological perspective to draw out the character of the IPA-use in conversation. Additionally, we highlight a number of nuanced practicalities of their use in multi-party settings. By providing a depiction of the nature and methodical practice of their use, we are able to contribute our findings to the design of IPAs.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/818799
Additional Information: Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work & Social Computing. New York : ACM Press, 2017, ISBN: 978-1-4503-4335-0 doi:10.1145/2998181.2998298
Keywords: Conversational agents; Intelligent personal assistants; Mobile devices; Smartphones; Multi-party conversation; Collocated interaction; Ethnomethodology; Conversation analysis
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Mechanical, Materials and Manufacturing Engineering
University of Nottingham, UK > Faculty of Science > School of Computer Science
Related URLs:
URLURL Type
https://rdmc.nottingham.ac.uk/handle/internal/64Dataset
https://cscw.acm.org/2017UNSPECIFIED
Depositing User: Porcheron, Martin
Date Deposited: 31 Oct 2016 12:02
Last Modified: 04 May 2020 18:13
URI: https://eprints.nottingham.ac.uk/id/eprint/38039

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